Human-Centred AI: Education and Innovation
Introduction
The rise in start-up culture, increasing investments, and technological breakthroughs are being encouraged alongside innovations and the incorporation of generative Artificial Intelligence elements. Witnessing the growing focus on human-centred AI, its potential to transform industries like education remains undeniable. Enhancing experiences and inculcating new ways of learning, there is much to be explored. Recently, a Delhi-based non-profit called Rocket Learning, in collaboration with Google.org, launched Appu- a personalised AI educational tool providing a multilingual and conversational learning experience for kids between 3 and 6.
AI Appu
Developed in 6 months, along with the help of dedicated Google.org fellows, interactive Appu has resonated with those the founders call “super-users,” i.e. parents and caregivers. Instead of redirecting students to standard content and instructional videos, it operates on the idea of conversational learning, one equally important for children in the targeted age bracket. Designed in the form of an elephant, Appu is supposed to be a personalised tutor, helping both children and parents understand concepts through dialogue. AI enables the generation of different explanations in case of doubt, aiding in understanding. If children were to answer in mixed languages instead of one complete sentence in a single language (eg, Hindi and English), the AI would still consider it as a response. The AI lessons are two minutes long and are inculcated with real-world examples. The emphasis on interactive and fun learning of concepts through innovation enhances the learning experience. Currently only available in Hindi, it is being worked on to include 20 other languages such as Punjabi and Marathi.
UNESCO, AI, and Education
It is important to note that such innovations also find encouragement in UNESCO’s mandate as AI in education contributes to achieving the 2030 Agenda of Sustainable Development Goals (here; SDG 4- focusing on quality education). Within the ambit of the Beijing Consensus held in 2019, UNESCO encourages a human-centred approach to AI, and has also developed the “Artificial Intelligence and Education: Guidance for Policymakers” aiming towards understanding its potential and opportunities in education as well as the core competencies it needs to work on. Another publication was launched during one of the flagship events of UNESCO- (Digital Learning Week, 2024) - AI competency frameworks for both, students and teachers which provide a roadmap for assessing the potential and risks of AI, each covering common aspects such as AI ethics, and human-centred mindset and even certain distinct options such as AI system design for students and AI pedagogy for teachers.
Potential Challenges
While AI holds immense promise in education, innovation with regard to learning is contentious as several risks must be carefully managed. Depending on the innovation, AI’s struggle with multitasking beyond the classroom, such as administrative duties and tedious grading, which require highly detailed role descriptions could prove to be a challenge. This can become exhausting for developers managing innovative AI systems, as they would have to fit various responses owing to the inherent nature of AI needing to be trained to produce output. Security concerns are another major issue, as data breaches could compromise sensitive student information. Implementation costs also present challenges, as access to AI-driven tools depends on financial resources. Furthermore, AI-driven personalised learning, while beneficial, may inadvertently reduce student motivation, also compromising students' soft skills, such as teamwork and communication, which are crucial for real-world success. These risks highlight the need for a balanced approach to AI integration in education.
Conclusion
Innovations related to education, especially the ones that focus on a human-centred AI approach, have immense potential in not only enhancing learning experiences but also reshaping how knowledge is accessed, understood, and applied. Untapped potential using other services is also encouraged in this sector. However, maintaining a balance between fostering intrigue and ensuring the inculcation of ethical and secure AI remains imperative.
References
- https://www.unesco.org/en/articles/what-you-need-know-about-unescos-new-ai-competency-frameworks-students-and-teachers?hub=32618
- https://www.unesco.org/en/digital-education/artificial-intelligence
- https://www.deccanherald.com/technology/google-backed-rocket-learning-launches-appu-an-ai-powered-tutor-for-kids-3455078
- https://indianexpress.com/article/technology/artificial-intelligence/how-this-google-backed-ai-tool-is-reshaping-education-appu-9896391/
- https://www.thehindu.com/business/ai-appu-to-tutor-children-in-india/article69354145.ece
- https://www.velvetech.com/blog/ai-in-education-risks-and-concerns/
Related Blogs
Introduction
Misinformation spreads differently with respect to different host environments, making localised cultural narratives and practices major factors in how an individual deals with it when presented in a certain place and to a certain group. In the digital age, with time-sensitive data, an overload of information creates a lot of noise which makes it harder to make informed decisions. There are also cases where customary beliefs, biases, and cultural narratives are presented in ways that are untrue. These instances often include misinformation related to health and superstitions, historical distortions, and natural disasters and myths. Such narratives, when shared on social media, can lead to widespread misconceptions and even harmful behaviours. For example, it may also include misinformation that goes against scientific consensus or misinformation that contradicts simple, objectively true facts. In such ambiguous situations, there is a higher probability of people falling back on patterns in determining what information is right or wrong. Here, cultural narratives and cognitive biases come into play.
Misinformation and Cultural Narratives
Cultural narratives include deep-seated cultural beliefs, folklore, and national myths. These narratives can also be used to manipulate public opinion as political and social groups often leverage them to proceed with their agenda. Lack of digital literacy and increasing information online along with social media platforms and their focus on generating algorithms for engagement aids this process. The consequences can even prove to be fatal.
During COVID-19, false claims targeted certain groups as being virus spreaders fueled stigmatisation and eroded trust. Similarly, vaccine misinformation, rooted in cultural fears, spurred hesitancy and outbreaks. Beyond health, manipulated narratives about parts of history are spread depending on the sentiments of the people. These instances exploit emotional and cultural sensitivities, emphasizing the urgent need for media literacy and awareness to counter their harmful effects.
CyberPeace Recommendations
As cultural narratives may lead to knowingly or unknowingly spreading misinformation on social media platforms, netizens must consider preventive measures that can help them build resilience against any biased misinformation they may encounter. The social media platforms must also develop strategies to counter such types of misinformation.
- Digital and Information Literacy: Netizens must encourage developing digital and information literacy in a time of information overload on social media platforms.
- The Role Of Media: The media outlets can play an active role, by strictly providing fact-based information and not feeding into narratives to garner eyeballs. Social media platforms also need to be careful while creating algorithms focused on consistent engagement.
- Community Fact-Checking: As localised information prevails in such cases, owing to the time-sensitive nature, immediate debunking of precarious information by authorities at the ground level is encouraged.
- Scientifically Correct Information: Starting early and addressing myths and biases through factual and scientifically correct information is also encouraged.
Conclusion
Cultural narratives are an ingrained part of society, and they might affect how misinformation spreads and what we end up believing. Acknowledging this process and taking counter measures will allow us to move further and take steps for intervention regarding tackling the spread of misinformation specifically aided by cultural narratives. Efforts to raise awareness and educate the public to seek sound information, practice verification checks, and visit official channels are of the utmost importance.
References
- https://www.icf.com/insights/cybersecurity/developing-effective-responses-to-fake-new
- https://www.dw.com/en/india-fake-news-problem-fueled-by-digital-illiteracy/a-56746776
- https://www.apa.org/topics/journalism-facts/how-why-misinformation-spreads
Executive Summary:
A morphed video of the actor Anup Soni popular on social media promoting IPL betting Telegram channel is found to be fake. The audio in the morphed video is produced through AI voice cloning. AI manipulation was identified by AI detection tools and deepfake analysis tools. In the original footage Mr Soni explains a case of crime, a part of the popular show Crime Patrol which is unrelated to betting. Therefore, it is important to draw the conclusion that Anup Soni is in no way associated with the betting channel.
Claims:
The facebook post claims the IPL betting Telegram channel which belongs to Rohit Khattar is promoted by Actor Anup Soni.
Fact Check:
Upon receiving the post, the CyberPeace Research Team closely analyzed the video and found major discrepancies which are mostly seen in AI-manipulated videos. The lip sync of the video does not match the audio. Taking a cue from this we analyzed using a Deepfake detection tool by True Media. It is found that the voice of the video is 100% AI-generated.
We then extracted the audio and checked in an audio Deepfake detection tool named Hive Moderation. Hive moderation found the audio to be 99.9% AI-Generated.
We then divided the video into keyframes and reverse searched one of the keyframes and found the original video uploaded by the YouTube channel named LIV Crime.
Upon analyzing we found that in the 3:18 time frame the video was edited, and altered with an AI voice.
Hence, the viral video is an AI manipulated video and it’s not real. We have previously debunked such AI voice manipulation with different celebrities and politicians to misrepresent the actual context. Netizens must be careful while believing in such AI manipulation videos.
Conclusion:
In conclusion, the viral video claiming that IPL betting Telegram channel promotion by actor Anup Soni is false. The video has been manipulated using AI voice cloning technology, as confirmed by both the Hive Moderation AI detector and the True Media AI detection tool. Therefore, the claim is baseless and misleading.
- Claim: An IPL betting Telegram channel belonging to Rohit Khattar promoted by Actor Anup Soni.
- Claimed on: Facebook
- Fact Check: Fake & Misleading
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Introduction
Language is an important part of human communication and a basic aspect of human understanding. The world is a global market and this diversity of languages has led to difficulties in engaging for effective communication and collaboration. India alone has 22 official languages and countless regional languages and dialects which change every few hundred kilometres.
AI has emerged to overcome this challenge of language barriers and has stepped into bringing about a transformative shift. It is leading the charge in breaking down traditional barriers and paving the way for more inclusive and seamless global interactions. AI’s integration into language translation has revolutionised the field, addressing longstanding challenges associated with traditional human-centric approaches. The limitations posed by reliance on human translators, such as time constraints, resource limitations, and the inability to handle the data efficiently, paved the way for the furtherance of the transformative impact of AI. However, challenges such as maintaining translation accuracy, addressing cultural nuances, and ensuring data privacy require careful attention to realize AI's full potential.
AI Technologies Bridging Language Gaps
AI tools have transformed translation, transcription, and natural language processing, providing language solutions. They can instantly translate text, transcribe audio, and analyse linguistic nuances, enabling effective cross-cultural communication. Moreover, AI's adaptive capabilities have facilitated language learning, allowing individuals to grasp new languages and adapt their communication styles to diverse cultural contexts.
AI technologies are making information and services more accessible to non-native speakers and are impacting global business, allowing effective engagement. Building on this transformative potential, various AI tools are now used to bridge language gaps in real-world applications. Some examples of AI’s role in bridging the language gap are:
- Real-time translation tools that enable instant communication by providing translations between languages on the fly. This would help in effortless conversations with clients and partners worldwide.
- Tools such as ‘speech-to-text’ and ‘text-to-speech’ like Murf AI, Lovo AI, and ElevenLabs work towards converting spoken language into written text and vice versa. These technologies have led to streamlined interactions, boosted productivity, and clarity in global business dealings. Businesses can extract important information, insights, and action points from meetings, interviews, and presentations.
- AI chatbots like MyGov Corona Helpdesk, WhatsApp Chatbot by the Government of India, Railway Food Order & Delivery by Zoop India, and Gen AI-Powered 'Elena' by Indian School of Business (ISB) are some examples that act as intelligent virtual assistants that engage in real-time conversations, by answering queries, providing information, and facilitating transactions. They offer round-the-clock support, freeing human resources and enhancing customer experience across language barriers.
Challenges and Limitations of AI Translation
While AI’s integration in combatting language barriers is commendable, there are challenges and limitations in overcoming this endeavour. These challenges and limitations are:
- AI translation systems face several challenges in handling accuracy, context, nuance, and idiomatic expressions.
- These systems may encounter struggles with complex or specialised language, along with those towards regional dialects, leading to potential misinterpretations.
- Biases within the AI models can further affect the inclusivity of translations, often favouring dominant languages and cultural norms while marginalising others.
- Ethical concerns, regarding privacy and data security, particularly when sensitive information is processed have also been arising.
- Ensuring user consent and protecting data integrity are essential to addressing these concerns. As AI continues to evolve, ongoing efforts are needed to improve fairness, transparency, and the cultural sensitivity of translation systems.
AI’s Future in Language Translation
AI technologies are moving towards improving translation accuracy and contextual understanding, allowing AI models to grasp cultural nuances and idiomatic expressions better. This can significantly enhance communication across diverse languages, fostering multilingual interactions and global collaboration in business, education, and diplomacy. Improvements in AI tech are taking place ubiquitous, and models like GPT and Google Translate are now better at capturing nuances, idioms, and cultural differences, reducing errors. AI tools like the Microsoft Translator help cross-continental teams work seamlessly by enhancing their productivity and inclusivity.
AI is capable of offering real-time translation in healthcare, education, and public services. This would enable more inclusive environments and bridging communication gaps. For example in the healthcare system, AI-powered translation tools are helping the industry to provide better care by crossing linguistic barriers. Doctors can now communicate with patients who speak different languages, ensuring equitable care even with linguistic boundaries.
Conclusion
We live in a world where diverse languages pose significant challenges to global communication, and AI has emerged as a powerful tool to bridge these gaps. AI is paving the way for more inclusive and seamless interactions by revolutionising language translation, transcription, and natural language processing. Its ability to break down barriers caused by linguistic diversity ensures effective communication in fields ranging from business to healthcare. Despite challenges like accuracy and cultural sensitivity, the potential for AI to continuously improve is undeniable. As AI technologies evolve, they stand as the key to overcoming language barriers and fostering a more connected and inclusive global community.
Notwithstanding AI's potential abilities to overcome language barriers through advances in natural language processing and translation, cybersecurity and data privacy must always come first. The same technologies that make it easier to communicate globally also put private information at risk. The likelihood of data breaches, personal information misuse, and compromised communication rises in the absence of strict cybersecurity safeguards. Thus, in order to guarantee safe and reliable international Interactions as AI develops, it is crucial to strike a balance between innovation and privacy protection.
References
- https://megasisnetwork.medium.com/ai-and-language-translation-breaking-down-language-barriers-47873cfdb13b
- https://pubmed.ncbi.nlm.nih.gov/38099504/
- https://www.linkedin.com/pulse/breaking-language-barriers-ai-era-leveraging-tools-business-a-rad
- https://www.researchgate.net/publication/373842132_Breaking_Down_Barriers_With_Artificial_Intelligence_AI_Cross-Cultural_Communication_in_Foreign_Language_Education
